Residential house type layout generation method and system based on supervised learning

Abstract

The invention provides a supervised learning-based house type layout generation method and system, and the method comprises the steps: building a house type layout generation model which comprises a generation network, a simulation environment and a scoring network; acquiring house type example data, inputting the house type example data into the generative network, and outputting house type layout data; according to the house type example data, house type design conditions are obtained, the house type design conditions and the house type layout data are input into a simulation environment, and the house type layout is scored; according to the evaluation network, taking the house type layout data as input data, taking the score output by the simulation environment as a mark, training the evaluation network and outputting score data; back-propagating the score data to the generative network, updating the parameters of the generative network, training the generative network, and stopping training when the output result of the generative network meets a preset requirement to obtain a trained house layout generation model; and obtaining house type design conditions input by a user, inputting the house type design conditions to the trained house type layout generation model, and outputting a house type layout map.

Description

technical field [0001] The invention relates to the technical field of architectural design, in particular to a method and system for generating residential layout based on supervised learning. Background technique [0002] This section is intended to provide a background or context to embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] Housing is one of the most important building types, accounting for about 68% of the total housing construction in the country, and has an important impact on urban construction. With the development of the economy and the improvement of living standards, people's requirements for housing quality are getting higher and higher, and "family design" is getting more and more attention. One of the most important issues in residential design is the issue of "family layout", that is, through reasonable "spatial layout planning" to meet the func...

AI Technical Summary

Problems solved by technology

However, the house type evaluation rules are relatively complicated, and it is difficult to directly complete the definition of the loss function based on the house type evaluation rules within the deep learning framework, which limits the flexibility and scalability of house type design evaluation.

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